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WIFI: awsDevDay | PASS: CodeHappy
U P N E X T :
Building Serverless Web Applications
T H A N K S T O O U R F R I E N D S A T :
Who am I?
• Paras Bhuva (bhuparas@amazon.com)
• Solutions Architect at AWS
• Started at Amazon Seller Services in 2012; joined AWS in 2015
• @parasbhuva on twitter
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Paras Bhuva, Solutions Architect
8/1/2017
Building Serverless Web Applications
AWS compute offerings
VM Task Function
Service EC2 ECS Lambda
H/W OS Runtime
Unit of scale
Level of
abstraction
AWS compute offerings
I want to
configure
servers,
storage,
networking,
and my OS
I want to run
servers,
configure
applications,
and control
scaling
Run my
code when
it’s needed
Service EC2 ECS Lambda
How do I
choose?
What to expect from the session
• Why Serverless
• Design Patterns
• Group activity + Demo
• One more Demo
• Q&A (if time permits)
Why Serverless
Servers
How will the application
handle server hardware failure?
How can I control
access from my servers?
When should I decide to
scale out my servers?
When should I decide to
scale up my servers?
What size servers are
right for my budget?
How much remaining
capacity do my servers have?
(AAHHHHHHHHH!!)
No servers to provision
or manage
Scales with usage
Never pay for idle Availability and fault
tolerance built in
Serverless means…
AWS Lambda
AWS Lambda: Serverless computing
Run code without servers. Pay only for the compute time you consume.
Triggered by events or called from APIs:
• PUT to an Amazon S3 bucket
• Updates to Amazon DynamoDB table
• Call to an Amazon API Gateway endpoint
• Mobile app back-end call
• And many more…
Makes it easy to:
• Perform real-time data processing
• Build scalable back-end services
• Glue and choreograph systems
Serverless application
SERVICES (ANYTHING)
Changes in
data state
Requests to
endpoints
Changes in
resource state
EVENT SOURCE FUNCTION
Using AWS Lambda
Bring your own code
• Node.js, Java, Python,
C#
• Bring your own libraries
(even native ones)
Simple resource model
• Select power rating from
128 MB to 1.5 GB
• CPU and network
allocated proportionately
Flexible use
• Synchronous or
asynchronous
• Integrated with other
AWS services
Flexible authorization
• Securely grant access to
resources and VPCs
• Fine-grained control for
invoking your functions
Using AWS Lambda
Authoring functions
• WYSIWYG editor or
upload packaged .zip
• Third-party plugins
(Eclipse, Visual Studio)
Monitoring and logging
• Metrics for requests,
errors, and throttles
• Built-in logs to Amazon
CloudWatch Logs
Programming model
• Use processes, threads,
/tmp, sockets normally
• AWS SDK built in
(Python and Node.js)
Stateless
• Persist data using
external storage
• No affinity or access to
underlying infrastructure
AWS Lambda Pricing
• Buy compute time in
100 ms increments
• Low request charge
• No hourly, daily, or
monthly minimums
• No per-device fees
Never pay for idle!
Free Tier
1 million requests and 400,000 GBs of
compute every month, every customer
Imagine your business with
no cold servers.
No underutilized hardware.
No containers waiting for
work.
…and no one being paid to
worry about problems that
no longer exist.
• Buy compute time in
100 ms increments
• Low request charge
• No hourly, daily, or
monthly minimums
• No per-device fees
Never pay for idle!
Common Serverless Use Cases
Web
Applications
• Static websites
• Complex web
apps
• Packages for
Flask and
Express
Data
Processing
• Real time
• MapReduce
• Batch
Chatbots
• Powering
chatbot logic
Backends
• Apps &
services
• Mobile
• IoT
</></>
Amazon
Alexa
• Powering
voice-enabled
apps
• Alexa Skills
Kit
Autonomous
IT
• Policy engines
• Extending
AWS services
• Infrastructure
management
Amazon
S3
Amazon
DynamoDB
Amazon
Kinesis
AWS
CloudFormation
AWS
CloudTrail
Amazon
CloudWatch
Amazon
Cognito
Amazon
SNS
Amazon
SES
Cron
events
DATA STORES ENDPOINTS
CONFIGURATION REPOSITORIES EVENT/MESSAGE SERVICES
Lambda Event Sources
… more on the way!
AWS
CodeCommit
Amazon
API Gateway
Amazon
Alexa
AWS
IoT
AWS Step
Functions
Amazon API Gateway
What is Amazon API Gateway?
Amazon API Gateway is a fully managed service that makes it easy for
developers to create, publish, maintain, monitor, and secure APIs at
any scale. “Front door” for applications to access data, business logic
or functionality from your backend services.
Key Benefits:
Low Cost and Efficient
Performance at any scale
Easily Monitor API Activity
Streamline API Development
Run your APIs without servers
Flexible Security controls
Create RESTful Endpoints for Existing Services
Amazon API Gateway
Internet
Mobile Apps
Websites
Services
AWS Lambda
functions
AWS
API Gateway
Cache
Endpoints on
Amazon EC2
All publicly
accessible
endpoints
Amazon
CloudWatch
Monitoring
Amazon
CloudFront
Amazon
API Gateway
Any other
AWS service
Create a unified
API frontend for
multiple micro-
services
Authenticate and
authorize
requests to a
backend
DDoS protection
and throttling for
your backend
Throttle, meter,
and monetize API
usage by 3rd
party developers
Amazon API Gateway
Build, deploy, clone, and roll back
Build APIs with their resources, methods, and settings
Deploy APIs to a stage
• Users can create as many stages as they want, each with its own
throttling, caching, metering, and logging configuration
Clone an existing API to create a new version
• Users can continue working on multiple versions of their APIs
Roll back to previous deployments
• We keep a history of customers’ deployments so they can revert to
a previous deployment
API Gateway pricing
$3.50 per million API Gateway requests
Included in the AWS Free Tier
• 1 million API requests per month for 12 months
Data Transfer Out (standard AWS prices)
• $0.09/GB for the first 10 TB
• $0.085/GB for the next 40 TB
• $0.07/GB for the next 100 TB
• $0.05/GB for the next 350 TB
Pricing as of 7/29/17 for US-East region; subject to change; always refer https://aws.amazon.com/api-gateway/pricing/
Optional – Dedicated cache pricing
Cache memory
size (GB)
Price per hour
(USD)
0.5 $0.020
1.6 $0.038
6.1 $0.200
13.5 $0.250
28.4 $0.500
58.2 $1.000
118 $1.900
237 $3.800
Pricing as of 7/29/17 for US-East region; subject to change; always refer https://aws.amazon.com/api-gateway/pricing/
Design Patterns
Monolithic Application
Drawbacks of Monolithic Architecture
Hard to Iterate Fast CI/CD Time ConsumingHard to Scale Efficiently
Reliability Challenges
Benefits of Microservices Architecture
Increased Agility Easy to Scale Improved Innovation
Reduced Human Errors
Monolithic Serverless Web Application
Monolithic - What does it look like?
GET /pets
PUT /pets
DELETE /pets
GET /describe/pet/$id
PUT /describe/pet/$id
EVENT DRIVEN ONE LARGE LAMBDA FUNCTION
Monolithic - Pros and Cons
• Single Handler
• Handles all GET/PUT/POST/UPDATE/DELETE
• Very Large Lambda Function
• Have to build a routing mechanism
• Larger blast radius
Cons:
Pros:
• Sometimes its easier to comprehend a less
distributed system
• Deployments “could” be faster
How can we make this better?
Moving from Monolithic to Microservices Architecture
Microservices ArchitectureMonolithic
Microservices Serverless Web Application
Microservices - What does it look like?
EVENT DRIVEN ONE LAMBDA PER HTTP METHOD
GET /pets
PUT /pets
DELETE /pets
GET /describe/pet/$id
PUT /describe/pet/$id
Microservices - Pros and Cons
• Can be harder to debug (X-ray can help with this!)
• Multiple Lambda Functions to Manage (Use SAM!!!!)
Cons:
Pros:
• Easier for teams to work Autonomously
• Separation of components
• Fine grained deployments (Integration testing is important)
• Can be easier to debug
• Agile
What does it look like put together?
Amazon
S3
Amazon
API Gateway
S3 stores all of your static
content: CSS, JS, Images, etc.
API Gateway handles all of
your application routing.
Lambda runs all of the logic
behind your website. Such as
a Create/Read/Update/Delete
service.
How do I manage it?
MEET SAM
USE SAM TO BUILD TEMPLATES THAT DEFINE
YOUR SERVERLESS APPLICATIONS
DEPLOY YOUR SAM TEMPLATE
WITH AWS CLOUDFORMATION
Meet AWS Serverless Application Model (SAM)
AWS CloudFormation extension optimized
for serverless
New serverless resource types: functions,
APIs, and tables
Supports anything CloudFormation supports
Open specification (Apache 2.0)
http://bit.ly/AWSSamFarm
SAM template
AWSTemplateFormatVersion: '2010-09-09’
Transform: AWS::Serverless-2016-10-31
Resources:
GetHtmlFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: s3://sam-demo-bucket/todo_list.zip
Handler: index.gethtml
Runtime: nodejs4.3
Policies: AmazonDynamoDBReadOnlyAccess
Events:
GetHtml:
Type: Api
Properties:
Path: /{proxy+}
Method: ANY
ListTable:
Type: AWS::Serverless::SimpleTable
SAM template
AWSTemplateFormatVersion: '2010-09-09’
Transform: AWS::Serverless-2016-10-31
Resources:
GetHtmlFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: s3://sam-demo-bucket/todo_list.zip
Handler: index.gethtml
Runtime: nodejs4.3
Policies: AmazonDynamoDBReadOnlyAccess
Events:
GetHtml:
Type: Api
Properties:
Path: /{proxy+}
Method: ANY
ListTable:
Type: AWS::Serverless::SimpleTable
Tells CloudFormation this is a SAM
template it needs to “transform”
Creates a Lambda function with the
referenced managed IAM policy,
runtime, code at the referenced zip
location, and handler as defined.
Also creates an API Gateway and
takes care of all
mapping/permissions necessary
Creates a DynamoDB table with 5
Read & Write units
SAM template
From: https://github.com/awslabs/aws-serverless-samfarm/blob/master/api/saml.yaml
<-THIS
BECOMES THIS->
Frameworks
Chalice
https://aws.amazon.com/serverless/developer-tools
DEMO!
Use case – Data processing – sample reference architecture
10:30 AM talk focused on Real time data processing
The Seattle Times uses AWS Lambda to resize images for viewing on different
devices such as desktop computers, tablets, and smartphones.
Use case – Real time streaming data – sample reference architecture
10:30 AM talk focused on Real time data processing
Localytics processes billions of data points in real-time, and uses Lambda to
process historical and live data stored in S3 or streamed from Kinesis.
Resources
Learning path (step by step guide) – https://aws.amazon.com/getting-started/serverless-web-app/
Serverless page – https://aws.amazon.com/serverless/
Serverless architecture best practices (on YouTube) – https://youtu.be/b7UMoc1iUYw
Serverless Application Model (SAM) deep dive – https://youtu.be/e3lreqpWN0A
AWS Lambda deep dive – https://youtu.be/dB4zJk_fqrU
Developer Tooling – https://aws.amazon.com/serverless/developer-tools/
Thank You!
Don’t Forget Evaluations!

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Raleigh DevDay 2017: Build a serverless web application in one day workshop

  • 1.
  • 2. WIFI: awsDevDay | PASS: CodeHappy U P N E X T : Building Serverless Web Applications
  • 3. T H A N K S T O O U R F R I E N D S A T :
  • 4. Who am I? • Paras Bhuva (bhuparas@amazon.com) • Solutions Architect at AWS • Started at Amazon Seller Services in 2012; joined AWS in 2015 • @parasbhuva on twitter
  • 5. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Paras Bhuva, Solutions Architect 8/1/2017 Building Serverless Web Applications
  • 6. AWS compute offerings VM Task Function Service EC2 ECS Lambda H/W OS Runtime Unit of scale Level of abstraction
  • 7. AWS compute offerings I want to configure servers, storage, networking, and my OS I want to run servers, configure applications, and control scaling Run my code when it’s needed Service EC2 ECS Lambda How do I choose?
  • 8. What to expect from the session • Why Serverless • Design Patterns • Group activity + Demo • One more Demo • Q&A (if time permits)
  • 10. Servers How will the application handle server hardware failure? How can I control access from my servers? When should I decide to scale out my servers? When should I decide to scale up my servers? What size servers are right for my budget? How much remaining capacity do my servers have? (AAHHHHHHHHH!!)
  • 11. No servers to provision or manage Scales with usage Never pay for idle Availability and fault tolerance built in Serverless means…
  • 13. AWS Lambda: Serverless computing Run code without servers. Pay only for the compute time you consume. Triggered by events or called from APIs: • PUT to an Amazon S3 bucket • Updates to Amazon DynamoDB table • Call to an Amazon API Gateway endpoint • Mobile app back-end call • And many more… Makes it easy to: • Perform real-time data processing • Build scalable back-end services • Glue and choreograph systems
  • 14. Serverless application SERVICES (ANYTHING) Changes in data state Requests to endpoints Changes in resource state EVENT SOURCE FUNCTION
  • 15. Using AWS Lambda Bring your own code • Node.js, Java, Python, C# • Bring your own libraries (even native ones) Simple resource model • Select power rating from 128 MB to 1.5 GB • CPU and network allocated proportionately Flexible use • Synchronous or asynchronous • Integrated with other AWS services Flexible authorization • Securely grant access to resources and VPCs • Fine-grained control for invoking your functions
  • 16. Using AWS Lambda Authoring functions • WYSIWYG editor or upload packaged .zip • Third-party plugins (Eclipse, Visual Studio) Monitoring and logging • Metrics for requests, errors, and throttles • Built-in logs to Amazon CloudWatch Logs Programming model • Use processes, threads, /tmp, sockets normally • AWS SDK built in (Python and Node.js) Stateless • Persist data using external storage • No affinity or access to underlying infrastructure
  • 17. AWS Lambda Pricing • Buy compute time in 100 ms increments • Low request charge • No hourly, daily, or monthly minimums • No per-device fees Never pay for idle! Free Tier 1 million requests and 400,000 GBs of compute every month, every customer
  • 18. Imagine your business with no cold servers. No underutilized hardware. No containers waiting for work. …and no one being paid to worry about problems that no longer exist. • Buy compute time in 100 ms increments • Low request charge • No hourly, daily, or monthly minimums • No per-device fees Never pay for idle!
  • 19. Common Serverless Use Cases Web Applications • Static websites • Complex web apps • Packages for Flask and Express Data Processing • Real time • MapReduce • Batch Chatbots • Powering chatbot logic Backends • Apps & services • Mobile • IoT </></> Amazon Alexa • Powering voice-enabled apps • Alexa Skills Kit Autonomous IT • Policy engines • Extending AWS services • Infrastructure management
  • 20. Amazon S3 Amazon DynamoDB Amazon Kinesis AWS CloudFormation AWS CloudTrail Amazon CloudWatch Amazon Cognito Amazon SNS Amazon SES Cron events DATA STORES ENDPOINTS CONFIGURATION REPOSITORIES EVENT/MESSAGE SERVICES Lambda Event Sources … more on the way! AWS CodeCommit Amazon API Gateway Amazon Alexa AWS IoT AWS Step Functions
  • 22. What is Amazon API Gateway? Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. “Front door” for applications to access data, business logic or functionality from your backend services. Key Benefits: Low Cost and Efficient Performance at any scale Easily Monitor API Activity Streamline API Development Run your APIs without servers Flexible Security controls Create RESTful Endpoints for Existing Services
  • 23. Amazon API Gateway Internet Mobile Apps Websites Services AWS Lambda functions AWS API Gateway Cache Endpoints on Amazon EC2 All publicly accessible endpoints Amazon CloudWatch Monitoring Amazon CloudFront Amazon API Gateway Any other AWS service
  • 24. Create a unified API frontend for multiple micro- services Authenticate and authorize requests to a backend DDoS protection and throttling for your backend Throttle, meter, and monetize API usage by 3rd party developers Amazon API Gateway
  • 25. Build, deploy, clone, and roll back Build APIs with their resources, methods, and settings Deploy APIs to a stage • Users can create as many stages as they want, each with its own throttling, caching, metering, and logging configuration Clone an existing API to create a new version • Users can continue working on multiple versions of their APIs Roll back to previous deployments • We keep a history of customers’ deployments so they can revert to a previous deployment
  • 26. API Gateway pricing $3.50 per million API Gateway requests Included in the AWS Free Tier • 1 million API requests per month for 12 months Data Transfer Out (standard AWS prices) • $0.09/GB for the first 10 TB • $0.085/GB for the next 40 TB • $0.07/GB for the next 100 TB • $0.05/GB for the next 350 TB Pricing as of 7/29/17 for US-East region; subject to change; always refer https://aws.amazon.com/api-gateway/pricing/
  • 27. Optional – Dedicated cache pricing Cache memory size (GB) Price per hour (USD) 0.5 $0.020 1.6 $0.038 6.1 $0.200 13.5 $0.250 28.4 $0.500 58.2 $1.000 118 $1.900 237 $3.800 Pricing as of 7/29/17 for US-East region; subject to change; always refer https://aws.amazon.com/api-gateway/pricing/
  • 30. Drawbacks of Monolithic Architecture Hard to Iterate Fast CI/CD Time ConsumingHard to Scale Efficiently Reliability Challenges
  • 31. Benefits of Microservices Architecture Increased Agility Easy to Scale Improved Innovation Reduced Human Errors
  • 33. Monolithic - What does it look like? GET /pets PUT /pets DELETE /pets GET /describe/pet/$id PUT /describe/pet/$id EVENT DRIVEN ONE LARGE LAMBDA FUNCTION
  • 34. Monolithic - Pros and Cons • Single Handler • Handles all GET/PUT/POST/UPDATE/DELETE • Very Large Lambda Function • Have to build a routing mechanism • Larger blast radius Cons: Pros: • Sometimes its easier to comprehend a less distributed system • Deployments “could” be faster
  • 35. How can we make this better?
  • 36. Moving from Monolithic to Microservices Architecture Microservices ArchitectureMonolithic
  • 38. Microservices - What does it look like? EVENT DRIVEN ONE LAMBDA PER HTTP METHOD GET /pets PUT /pets DELETE /pets GET /describe/pet/$id PUT /describe/pet/$id
  • 39. Microservices - Pros and Cons • Can be harder to debug (X-ray can help with this!) • Multiple Lambda Functions to Manage (Use SAM!!!!) Cons: Pros: • Easier for teams to work Autonomously • Separation of components • Fine grained deployments (Integration testing is important) • Can be easier to debug • Agile
  • 40. What does it look like put together? Amazon S3 Amazon API Gateway S3 stores all of your static content: CSS, JS, Images, etc. API Gateway handles all of your application routing. Lambda runs all of the logic behind your website. Such as a Create/Read/Update/Delete service.
  • 41. How do I manage it? MEET SAM USE SAM TO BUILD TEMPLATES THAT DEFINE YOUR SERVERLESS APPLICATIONS DEPLOY YOUR SAM TEMPLATE WITH AWS CLOUDFORMATION
  • 42. Meet AWS Serverless Application Model (SAM) AWS CloudFormation extension optimized for serverless New serverless resource types: functions, APIs, and tables Supports anything CloudFormation supports Open specification (Apache 2.0) http://bit.ly/AWSSamFarm
  • 43. SAM template AWSTemplateFormatVersion: '2010-09-09’ Transform: AWS::Serverless-2016-10-31 Resources: GetHtmlFunction: Type: AWS::Serverless::Function Properties: CodeUri: s3://sam-demo-bucket/todo_list.zip Handler: index.gethtml Runtime: nodejs4.3 Policies: AmazonDynamoDBReadOnlyAccess Events: GetHtml: Type: Api Properties: Path: /{proxy+} Method: ANY ListTable: Type: AWS::Serverless::SimpleTable
  • 44. SAM template AWSTemplateFormatVersion: '2010-09-09’ Transform: AWS::Serverless-2016-10-31 Resources: GetHtmlFunction: Type: AWS::Serverless::Function Properties: CodeUri: s3://sam-demo-bucket/todo_list.zip Handler: index.gethtml Runtime: nodejs4.3 Policies: AmazonDynamoDBReadOnlyAccess Events: GetHtml: Type: Api Properties: Path: /{proxy+} Method: ANY ListTable: Type: AWS::Serverless::SimpleTable Tells CloudFormation this is a SAM template it needs to “transform” Creates a Lambda function with the referenced managed IAM policy, runtime, code at the referenced zip location, and handler as defined. Also creates an API Gateway and takes care of all mapping/permissions necessary Creates a DynamoDB table with 5 Read & Write units
  • 47. DEMO!
  • 48. Use case – Data processing – sample reference architecture 10:30 AM talk focused on Real time data processing The Seattle Times uses AWS Lambda to resize images for viewing on different devices such as desktop computers, tablets, and smartphones.
  • 49. Use case – Real time streaming data – sample reference architecture 10:30 AM talk focused on Real time data processing Localytics processes billions of data points in real-time, and uses Lambda to process historical and live data stored in S3 or streamed from Kinesis.
  • 50. Resources Learning path (step by step guide) – https://aws.amazon.com/getting-started/serverless-web-app/ Serverless page – https://aws.amazon.com/serverless/ Serverless architecture best practices (on YouTube) – https://youtu.be/b7UMoc1iUYw Serverless Application Model (SAM) deep dive – https://youtu.be/e3lreqpWN0A AWS Lambda deep dive – https://youtu.be/dB4zJk_fqrU Developer Tooling – https://aws.amazon.com/serverless/developer-tools/